Multiple Pedestrians Detection and Tracking using Color Information from a Moving Camera 


Vol. 11,  No. 3, pp. 317-326, Jun.  2004
10.3745/KIPSTB.2004.11.3.317


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  Abstract

This paper presents a new method for the detection of multiple pedestrians and tracking of a specific pedestrian using color information from a moving camera. We first extract motion vector on the input image using BMA. Next, a difference image is calculated on the basis of the motion vector. The difference image is converted to a binary image. The binary image has an unnecessary noise. So, it is removed by means of the proposed noise deletion method. Then, we detect pedestrians through the projection algorithm. But, if pedestrians are very adjacent to each other, we separate them using RGB color information. And we track a specific pedestrian using RGB color information in center region of it. The experimental results on our test sequences demonstrated the high efficiency of our approach as it had shown detection success ratio of 97% and detection failure ratio of 3% and excellent tracking.

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[IEEE Style]

J. S. Lim and W. H. Kim, "Multiple Pedestrians Detection and Tracking using Color Information from a Moving Camera," The KIPS Transactions:PartB , vol. 11, no. 3, pp. 317-326, 2004. DOI: 10.3745/KIPSTB.2004.11.3.317.

[ACM Style]

Jong Seok Lim and Wook Hyun Kim. 2004. Multiple Pedestrians Detection and Tracking using Color Information from a Moving Camera. The KIPS Transactions:PartB , 11, 3, (2004), 317-326. DOI: 10.3745/KIPSTB.2004.11.3.317.

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